Architecture for Drone Assisted Emergency Ad-hoc Network for Disaster Rescue Operations

Ganesh, Siddarth; Gopalasamy, Vaishnavi; B, Sai Shibu N

doi:10.1109/comsnets51098.2021.9352814

Cited by 21 publications

(5 citation statements)

References 13 publications

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“…9 is consistent with Fig. 7, meaning that, for r d = [1,10] km, the blue curve in the former matches with the initial values of the respective dotted lines in the latter. Moreover, several insights can be extracted: (i) It is evident that the satellite altitude h S does not have a considerable influence on the coverage probability (the yellow and red markers match with the respective solid lines).…”

Section: ) Large Disasterssupporting

confidence: 89%

“…To this extent, LoRa technology is often used in order to transfer data over long distances with low power consumption, at the price of a quite limited capacity. Moreover, novel drone-assisted mesh network architectures, such as the so-called UbiQNet [10], are capable of combining image processing and deep learning in order to find the neighbouring first responders (FR) nodes. Some other interesting paradigms that have been explored in the literature in order to support the networking layer are delay-tolerant networks (DTNs) and software-defined networks (SDNs).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia

Saeed

Kishk

et al. 2022

IEEE Open J. Commun. Soc.

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The number of disasters has increased over the past decade where these calamities significantly affect the functionality of communication networks. In the context of 6G, airborne and spaceborne networks offer hope in disaster recovery to serve the underserved and to be resilient in calamities. Therefore, our paper reviews the state-of-the-art literature on post-disaster wireless communication networks and provides insights for the future establishment of such networks. In particular, we first give an overview of the works investigating the general procedures and strategies for facing any large-scale disaster. Then, we present technological solutions for post-disaster communications, such as the recovery of the terrestrial infrastructure, installing aerial networks, and using spaceborne networks. Afterwards, we shed light on the technological aspects of post-disaster networks, primarily the physical and networking issues. We present the literature on channel modeling, coverage and capacity, radio resource management, localization, and energy efficiency in the physical layer part, and discuss the integrated space-air-ground architectures, routing, delay-tolerant/software-defined networks, and edge computing in the networking layer part. This paper also includes interesting simulation results which can provide practical guidelines about the deployment of ad hoc network architectures in emergency scenarios. Finally, we present several promising research directions, namely backhauling, cache-enabled and intelligent reflective surface-enabled networks, placement optimization of aerial base stations (ABSs), and the mobility-related aspects that come into play when deploying aerial networks, such as planning their trajectories and the consequent handovers (HOs).

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Section: ) Large Disasterssupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia

Saeed

Kishk

et al. 2022

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

show abstract

“…Overall, their approach can help emergency responders communicate more effectively in critical situations. In this paper [9], in the event of disaster, identifying location and number of victims is of utmost importance for effective rescue operation. Normal communication services become obsolete due to damages to communication towers, network overloading, or remote area affected.…”

Section: Related Workmentioning

confidence: 99%

Multi-Agent Systems using UAV's for Surveillance in the Disaster Management

Shandilya,

Kuamr

2023

Preprint

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Rescue and recovery operations are critical in disaster management. For the speedy rescue process in order to save the lives, proper surveillance of the disaster affected area is essential. In this regard, surveillance using Unmanned Aerial Vehicles (UAV's) are predominately helpful in such circumstances for speedy surveillance. In this context, for faster surveillance, multiple UAV's are deployed in the disaster affected region. In this paper, the multiple UAV's are considered as multi-agent systems and explored the algorithms such as UAV back-and-forth algorithm, UAV FA algorithm and UAV random algorithm. The simulation results are carried out and evaluated the algorithms with respect to various parameters such as, residual battery in the drones, number of targets, average hit time and energy consumption. Based on the simulation results, the requirements and the need of the multi-agents for overall efficient surveillance for disaster management can be analysed based on the gathered information.

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“…Relevant departments utilized drones to play a crucial role in communication support, disaster reconnaissance, and material delivery in challenging rescue environments and complex weather conditions [1]. Reference [2] addressed the inability to rescue disaster victims in remote areas due to traditional emergency communications (1) First, we design an air-ground collaborative network architecture for UAV-assisted networks. This architecture utilizes SDN's hierarchical multi-domain networking technology with a super domain controller responsible for obtaining global network state information and cross-domain business requests.…”

Section: Introductionmentioning

confidence: 99%

FedRDR: Federated Reinforcement Distillation-Based Routing Algorithm in UAV-Assisted Networks for Communication Infrastructure Failures

Li,

Liu,

Han

et al. 2024

Drones

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Traditional Internet of Things (IoT) networks have limited coverage and may experience failures due to natural disasters affecting critical IoT devices, making it difficult for them to provide communication services. Therefore, how to establish network communication service more efficiently in the presence of fault points is the problem we solve in this paper. To address this issue, this study constructs a hierarchical multi-domain data transmission architecture for an emergency network with unmanned aerial vehicles (UAVs) employed as core communication devices. This architecture expands the functionality of UAVs as key network devices and provides a theoretical basis for their feasibility as intelligent network controllers and switches. Firstly, the UAV controllers perceive the network status and learn the spatio-temporal characteristics of air-to-ground network links. Secondly, a routing algorithm within the domain based on federated reinforcement distillation (FedRDR) is developed, which enhances the generalization capability of the routing decision model by increasing the training data samples. Simulation experiments are conducted, and the results show that the average communication data size between each domain controller and the server is approximately 45.3 KB when using the FedRDR algorithm. Compared to the transmission of parameters through federated reinforcement learning algorithms, FedRDR reduces the transmitted parameter size by approximately 29%. Therefore, the FedRDR routing algorithm helps to facilitate knowledge transfer, accelerate the training process of intelligent agents within the domain, and reduce communication costs in resource-constrained scenarios for UAV networks and has practical value.

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Architecture for Drone Assisted Emergency Ad-hoc Network for Disaster Rescue Operations

Cited by 21 publications

References 13 publications

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Multi-Agent Systems using UAV's for Surveillance in the Disaster Management

FedRDR: Federated Reinforcement Distillation-Based Routing Algorithm in UAV-Assisted Networks for Communication Infrastructure Failures

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